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Feature recognition
Results: 683

#	Item
331	Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:41 Mathematics Statistics Probability theory Bayesian statistics Conditional random field Machine learning Belief propagation Markov random field Feature recognition Graphical models Applied mathematics Theoretical computer science
332	PAGE 88 Combining MLLR Adaptation and Feature Extraction for Robust Speech Recognition in Reverberant Environments Aik Ming Toh1 , Roberto Togneri1 , Sven Nordholm2 School of Electrical, Electronic and Computer Engineer Add to Reading List Source URL: www.assta.org Language: English - Date: 2007-09-27 06:01:00 Humanâ€“computer interaction Acoustics Science Audio effects Speech recognition Reverberation Mel-frequency cepstrum Speaker recognition Loudspeaker Automatic identification and data capture Computational linguistics Signal processing
333	Author manuscript, published in: Proceedings of ACM International Conference on Multimedia Retrieval 2011, ACM, 2011. DOI: [removed][removed]Multimedia Computing and Computer Vision Lab, Augsburg University, http:/ Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2013-09-10 09:38:33 Imaging Geometric hashing Video copy detection Triangle Information retrieval Feature Object recognition Recall Encoding Computer vision Vision Artificial intelligence
334	Remarks for Special Issue on Embedded Software and Solutions In this issue we will feature embedded software solutions that have taken the spotlight in recent years. Software has gained recognition as an indispensable in Add to Reading List Source URL: www.nec.com Language: English - Date: 2013-10-01 21:34:47 Renesas Electronics Software Technology Economy of Japan Electronics Semiconductor companies Embedded system NEC
335	IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 6, NO. 1, JANUARY[removed]Automatic Target Recognition by Matching Oriented Edge Pixels Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-02-15 19:41:35 Computer graphics Vision Pixel Edge detection Histogram equalization Image noise Object recognition Scale-invariant feature transform Image processing Computer vision Imaging
336	¨ t Augsburg Universita KAB 0 H Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:05:43 Statistics Feature Object recognition Probabilistic latent semantic analysis Scale space Edge detection SURF Segmentation Scale-invariant feature transform Computer vision Image processing Artificial intelligence
337	Pose Pooling Kernels for Sub-category Recognition Ning Zhang ICSI & UC Berkeley Ryan Farrell ICSI & UC Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-25 23:02:39 Imaging One-shot learning Visual descriptors Support vector machine K-nearest neighbor algorithm Kernel Feature Scale-invariant feature transform Histogram of oriented gradients Computer vision Artificial intelligence Vision
338	Large Scale Max-Margin Multi-Label Classification with Priors Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2011-04-17 13:22:30 Support vector machine Linear classifier Multi-label classification Pattern recognition Feature selection Mathematical optimization Statistics Machine learning Statistical classification
339	Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features Yangqing Jia1 Chang Huang2 Trevor Darrell1 1 2 Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:15 Overcompleteness Linear classifier Statistical classification Supervised learning Feature selection K-nearest neighbor algorithm Feature Pattern recognition Support vector machine Statistics Machine learning Artificial intelligence
340	Anytime Recognition of Objects and Scenes Sergey Karayev UC Berkeley Mario Fritz Max Planck Institute for Informatics Add to Reading List Source URL: sergeykarayev.com Language: English - Date: 2015-01-07 04:16:21 Dimension reduction Feature selection Model selection Reinforcement learning Naive Bayes classifier Support vector machine Classifier Markov decision process Linear classifier Statistics Statistical classification Machine learning

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